This whitepaper presents a comprehensive analysis of multi-cloud data synchronization patterns for Microsoft Dynamics 365 Finance and Operations (D365 F (2) Batch processing patterns efficiently handle high-volume data transfers but introduce latency measured in hours; (3) Event-driven patterns provide superior fault tolerance and scalability through loose coupling; and (4) Hybrid patterns optimize resource utilization by matching synchronization method to data characteristics. This research contributes to the body of knowledge on enterprise multi-cloud integration by providing practical implementation guidance, performance benchmarks, and security frameworks that organizations can leverage to design robust, scalable, and secure multi-cloud data synchronization architectures.
Manish Sonthalia (Tue,) studied this question.